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BloodSpot 3.0: a database of gene and protein expression data in normal and malignant haematopoiesis.


ABSTRACT: BloodSpot is a specialised database integrating gene expression data from acute myeloid leukaemia (AML) patients related to blood cell development and maturation. The database and interface has helped numerous researchers and clinicians to quickly get an overview of gene expression patterns in healthy and malignant haematopoiesis. Here, we present an update to our framework that includes protein expression data of sorted single cells. With this update we also introduce datasets broadly spanning age groups, which many users have requested, with particular interest for researchers studying paediatric leukaemias. The backend of the database has been rewritten and migrated to a cloud-based environment to accommodate the growth, and provide a better user-experience for our many international users. Users can now enjoy faster transfer speeds and a more responsive interface. In conclusion, the continuing popularity of the database and emergence of new data modalities has prompted us to rewrite and futureproof the back-end, including paediatric centric views, as well as single cell protein data, allowing us to keep the database updated and relevant for the years to come. The database is freely available at www.bloodspot.eu.

SUBMITTER: Gislason MH 

PROVIDER: S-EPMC10768446 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature

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BloodSpot 3.0: a database of gene and protein expression data in normal and malignant haematopoiesis.

Gíslason Magnús H MH   Demircan Gül Sude GS   Prachar Marek M   Furtwängler Benjamin B   Schwaller Juerg J   Schoof Erwin M EM   Porse Bo Torben BT   Rapin Nicolas N   Bagger Frederik Otzen FO  

Nucleic acids research 20240101 D1


BloodSpot is a specialised database integrating gene expression data from acute myeloid leukaemia (AML) patients related to blood cell development and maturation. The database and interface has helped numerous researchers and clinicians to quickly get an overview of gene expression patterns in healthy and malignant haematopoiesis. Here, we present an update to our framework that includes protein expression data of sorted single cells. With this update we also introduce datasets broadly spanning  ...[more]

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